Joint extraction model of entity relations based on decomposition strategy
Ran Li,
kaijun La,
Jingsheng Lei
et al.
Abstract:Named entity recognition and relation extraction are two important fundamental tasks in natural language processing. The joint entity-relationship extraction model based on parameter sharing can effectively reduce the impact of cascading errors on model performance by performing joint learning of entities and relationships in a single model, but it still cannot essentially get rid of the influence of pipeline models and suffers from entity information redundancy and inability to recognize overlapping entities.… Show more
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